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Summary

For masters- and doctoral-level students in intro and advanced statistics. This text provides comprehensive treatment of all relevant topics for SPSS for Windows, including an introduction to get users up and running plus extensive discussion of more complex topics utilizing SPSS 9.0. Substantive information about statistical techniques includes a brief discussion of each statistical technique, examples of how the statistic is applied, the assumptions underlying the statistic, a description of the effect size, a sample data set that can be analyzed, the research question associated with the data set, step-by-step instructions as to how to complete the analysis, a discussion of the results of the analysis, alternative analytic techniques when available and a visual display of the results using SPSS graphic options.

Author Biography

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Neil J. Salkind teaches at the University of Kansas.

Table of Contents

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Preface

xi

Part I Introducing SPSS

1

(1)

Unit 1 Getting Started with SPSS

1

(22)

Starting SPSS for Windows

2

(3)

The SPSS Main Menus and Toolbar

5

(8)

Using SPSS Help

13

(5)

A Brief SPSS Tour

18

(5)

Unit 2 Creating and Working with Data Files

23

(31)

Defining Variables

24

(6)

Entering and Editing Data

30

(6)

Inserting and Deleting Cases and Variables

36

(4)

Selecting, Copying, Cutting, and Pasting Data

40

(5)

Printing and Exiting an SPSS Data File

45

(3)

Exporting and Importing SPSS Data

48

(6)

Unit 3 Working with Data

54

(22)

Finding Values, Variables, and Cases

55

(4)

Recoding Data and Computing Values

59

(6)

Sorting, Transposing, and Ranking Data

65

(5)

Splitting and Merging Files

70

(6)

Unit 4 Working with SPSS Charts and Output

76

(21)

Creating an SPSS Chart

77

(6)

Enhancing SPSS Charts

83

(9)

Using the Viewer

92

(5)

Part II Working With SPSS Procedures

97

(1)

Unit 5 Creating Variables

97

(39)

Summarizing and Describing Data

99

(13)

Univariate Descriptive Statistics for Qualitative Variables

112

(8)

Univariate Descriptive Statistics for Quantitative Variables

120

(16)

Unit 6 T Test Procedures

136

(21)

One-Sample T Test

137

(6)

Paired-Samples T Test

143

(6)

Independent-Samples T Test

149

(8)

Unit 7 Univariate and Multivariate Analysis-of-Variance Techniques

157

(76)

One-Way Analysis of Variance

158

(9)

Two-Way Analysis of Variance with Comments about Higher-Way Analysis of Variance

167

(20)

One-Way Analysis of Covariance

187

(11)

One-Way Multivariate Analysis of Variance

198

(10)

One-Way Repeated-Measures Analysis of Variance

208

(10)

Two-Way Repeated-Measures Analysis of Variance

218

(15)

Unit 8 Correlation, Regression, and Discriminant Analysis Procedures

233

(58)

The Pearson Product-Moment Correlation Coefficient

234

(9)

Partial Correlations

243

(10)

Bivariate Linear Regression

253

(10)

Multiple Linear Regression

263

(15)

Discriminant Analysis

278

(13)

Unit 9 Scaling Procedures

291

(36)

Factor Analysis

292

(11)

Internal Consistency Estimates of Reliability

303

(10)

Item Analysis Using the Reliability Procedure

313

(14)

Unit 10 Nonparametric Procedures

327

(66)

The Binomial Test

328

(7)

One-Sample Chi-Square Test

335

(9)

Two-Way Contingency Table Analysis Using Crosstabs

344

(11)

Two Independent-Samples Tests: The Mann-Whitney U Test

355

(6)

K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests

361

(12)

Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests